A Comparison of Set Redundancy Compression Techniques

A Comparison of Set Redundancy Compression Techniques

<p/> <p>Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space storage. Lossless compression methods are necessary in such critical applications. Set redundancy compression (SRC) methods exploit the interimage redundan...

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Main Authors: Ait-Aoudia Samy, Gabis Abdelhalim
Format: Article
Language:English
Published: SpringerOpen 2006-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/ASP/2006/92734
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spelling doaj-de5610ce3751416d864ea618aff1b17a2020-11-25T00:27:52ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802006-01-0120061092734A Comparison of Set Redundancy Compression TechniquesAit-Aoudia SamyGabis Abdelhalim<p/> <p>Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space storage. Lossless compression methods are necessary in such critical applications. Set redundancy compression (SRC) methods exploit the interimage redundancy and achieve better results than individual image compression techniques when applied to sets of similar images. In this paper, we make a comparative study of SRC methods on sample datasets using various archivers. We also propose a new SRC method and compare it to existing SRC techniques.</p> http://dx.doi.org/10.1155/ASP/2006/92734
collection DOAJ
language English
format Article
sources DOAJ
author Ait-Aoudia Samy
Gabis Abdelhalim
spellingShingle Ait-Aoudia Samy
Gabis Abdelhalim
A Comparison of Set Redundancy Compression Techniques
EURASIP Journal on Advances in Signal Processing
author_facet Ait-Aoudia Samy
Gabis Abdelhalim
author_sort Ait-Aoudia Samy
title A Comparison of Set Redundancy Compression Techniques
title_short A Comparison of Set Redundancy Compression Techniques
title_full A Comparison of Set Redundancy Compression Techniques
title_fullStr A Comparison of Set Redundancy Compression Techniques
title_full_unstemmed A Comparison of Set Redundancy Compression Techniques
title_sort comparison of set redundancy compression techniques
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2006-01-01
description <p/> <p>Medical imaging applications produce large sets of similar images. Thus a compression technique is necessary to reduce space storage. Lossless compression methods are necessary in such critical applications. Set redundancy compression (SRC) methods exploit the interimage redundancy and achieve better results than individual image compression techniques when applied to sets of similar images. In this paper, we make a comparative study of SRC methods on sample datasets using various archivers. We also propose a new SRC method and compare it to existing SRC techniques.</p>
url http://dx.doi.org/10.1155/ASP/2006/92734
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